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Parallel kd-tree with Batch Updates

Summary: Parallel kd-tree (Pkd-tree) for in-memory multi-dimensional data with high parallelism and cache efficiency. Parallel construction and reconstruction-based batch updates (insert/delete) keep the tree weight-balanced, enabling kNN, range, and range-count queries with strong work/span/cache bounds; outperforms baselines; code released. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
7117
Venue
SIGMOD
Year
2025
Pagerank
5.093636e-05
Overall Rank
10,674 | 26.77%
DOI
10.1145/3709712

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BibTeX Citation

@inproceedings{men_sigmod25,
        title = {{Parallel kd-tree with Batch Updates}},
        author = {Men, Ziyang and Shen, Zheqi and Gu, Yan and Sun, Yihan},
        series = {{SIGMOD} '25},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3709712},
        url = {https://dl.acm.org/doi/10.1145/3709712},
        year = {2025}
}

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